AIC                     Akaike information criterion / Bayesian
                        information criterion
anova.emaxnls           Analysis of variance for Emax regression models
coef.emaxnls            Coefficients for an Emax regression
confint.emaxnls         Confidence intervals for Emax regression model
                        parameters
deviance.emaxnls        Model deviance for an Emax regression
df.residual.emaxnls     Residual degrees of freedom for an Emax
                        regression model
emax_converged          Check Emax regression model for convergence
                        status
emax_df                 Sample simulated data for Emax
                        exposure-response models with covariates.
emax_fun                Construct Emax prediction function from model
                        object
emax_nls                Estimate parameters for an Emax regression
                        model
emax_nls_init           Construct an initial guess for the Emax model
                        parameters
emax_nls_options        Settings used to estimate Emax model
emax_scm                Stepwise covariate modeling for Emax regression
emax_update             Add or remove a covariate term from an Emax
                        regression
fitted.emaxnls          Fitted values for an Emax regression
logLik.emaxnls          Log-likelihood for an Emax regression model
nobs.emaxnls            Number of observations for an Emax regression
                        model
predict.emaxnls         Predicting from Emax regression models
print.emaxnls           Print an Emax regression model object
residuals.emaxnls       Residuals for an Emax regression
sigma.emaxnls           Residual standard deviation for Emax regression
                        models
simulate.emaxnls        Simulate responses from Emax regression model
summary.emaxnls         Summary of an Emax regression model
vcov.emaxnls            Variance-covariance matrix for an Emax
                        regression
